University of Cambridge > Talks.cam > Language Technology Lab Seminars > Predicting and Analysing Online User Behaviour with Natural Language Processing

Predicting and Analysing Online User Behaviour with Natural Language Processing

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If you have a question about this talk, please contact Edoardo Maria Ponti.

Studying the behaviour of social media users is an important problem in computational social science. Automated inference of user characteristics has applications in personalised recommender systems, targeted computational advertising and online political campaigning. In this talk, I will present three case studies: (1) inferring socioeconomic characteristics (e.g., income and occupational class); (2) studying voting behaviour; and (3) complaints.

This talk is part of the Language Technology Lab Seminars series.

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